Background: Fatigue is a common distressing symptom for patients living with chronic or acute diseases, including liver disorders and cancer (Cancer-Related Fatigue, CRF). Its etiology is multifactorial, and some hypotheses regarding the pathogenesis are summarized, with possible shared mechanisms both in cancer and in chronic liver diseases. A deal of work has investigated the role of a multifunctional molecule in improving symptoms and outcomes in different liver dysfunctions and associated symptoms, including chronic fatigue: S-adenosylmethionine (SAM; AdoMet). The aim of this work is actually to consider its role also in oncologic settings. Patients and Methods: Between January 2006 and December 2009, at the University Campus Bio-Medico of Rome, 145 patients affected by colorectal cancer in adjuvant (n = 91) or metastatic (n = 54; n = 40 with liver metastases) setting and treated with oxaliplatin-based regimen (FOLFOX for adjuvant and bevacizumab + XELOX for metastatic ones), 76 of which with the supplementation of S-adenosylmethionine (AdoMet; 400 mg b.i.d.) (57% of adjuvant patients and 44% of metastatic ones) and 69 without AdoMet supplementation, were evaluated for fatigue prevalence using the Functional Assessment of Chronic Illnesses Therapy-Fatigue (FACIT-F) questionnaire, at 3 and 6 months after the beginning of oncologic treatment. Notably, the number of patients with liver metastases was well balanced between the group of patients treated with AdoMet and those who were not. Results: Among patients receiving oxaliplatin-based chemotherapy, both in adjuvant and in metastatic settings, after just 3 months from the beginning of chemotherapy, mean scores from questionnaire domains like FACIT-F subscale (7.9 vs. 3.1, p = 0.006), FACIT physical (6.25 vs. 3.32, p = 0.020), FACIT emotional (4.65 vs. 2.19, p = 0.045), and FACIT-F total score (16.5 vs. 8.27, p = 0.021) were higher in those receiving supplementation of AdoMet, resulting in reduced fatigue; a significant difference was maintained even after 6 months of treatment. Discussion and Conclusions: Mechanisms and strategies for managing CRF are not fully understood. This work aimed at investigating the possible role of S-adenosylmethionine supplementation in improving fatigue scores in a specific setting of cancer patients, using a FACIT-F questionnaire, a well-validated quality of life instrument widely used for the assessment of CRF in clinical trials.

Background Non-small cell lung cancer is the leading cause of cancer death worldwide. COPD represents an independent risk factor for lung cancer. Objective The aim of this study was to determine the effects of COPD exacerbations on the outcome of patients treated with cisplatin-pemetrexed in metastatic lung adenocarcinoma. Methods 120 patients affected by COPD and adenocarcinoma IV stage wild type for EGFR mutation, were elegible for analysis. The initial population was subdivided in two subgroups according to the presence (group 0) or absence of COPD exacerbations (group 1). Results The group of patients without COPD exacerbations (group 1) reported a better TTP (log-rank HR of 0.31; p<0.0001) compared with group 0. The TTP median value was longer in group 1 (8.2 vs 6.6 months), and the difference was statistically significant (p<0.0001). The overall response rate was major in the group 1 compared with the group 0: 45% vs 37% (p<0.001) Toxicity events were similar in both groups, except for fatigue that was lower group 1 (p<0.0001). Conclusions The presence of COPD exacerbations influences the outcome in patients treated for wild type lung adenocarcinoma, both in terms of TTP and in terms of response rate and toxicity.erature.

PURPOSE:A large proportion of patients with cancer suffer from breakthrough cancer pain (BTcP). Several unmet clinical needs concerning BTcP treatment, such as optimal opioid dosages, are being investigated. In this analysis the hypothesis, we explore with an unsupervised learning algorithm whether distinct subtypes of BTcP exist and whether they can provide new insights into clinical practice.METHODS:Partitioning around a k-medoids algorithm on a large data set of patients with BTcP, previously collected by the Italian Oncologic Pain Survey group, was used to identify possible subgroups of BTcP. Resulting clusters were analyzed in terms of BTcP therapy satisfaction, clinical features, and use of basal pain and rapid-onset opioids. Opioid dosages were converted to a unique scale and the BTcP opioids-to-basal pain opioids ratio was calculated for each patient. We used polynomial logistic regression to catch nonlinear relationships between therapy satisfaction and opioid use.RESULTS:Our algorithm identified 12 distinct BTcP clusters. Optimal BTcP opioids-to-basal pain opioids ratios differed across the clusters, ranging from 15% to 50%. The majority of clusters were linked to a peculiar association of certain drugs with therapy satisfaction or dissatisfaction. A free online tool was created for new patients' cluster computation to validate these clusters in future studies and provide handy indications for personalized BTcP therapy.CONCLUSION:This work proposes a classification for BTcP and identifies subgroups of patients with unique efficacy of different pain medications. This work supports the theory that the optimal dose of BTcP opioids depends on the dose of basal opioids and identifies novel values that are possibly useful for future trials. These results will allow us to target BTcP therapy on the basis of patient characteristics and to define a precision medicine strategy also for supportive care.